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Quantitative Course

Quantitative Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course equips you with practical skills to convert raw transactional data into actionable, data-driven decisions. Frame key questions, engineer features, conduct exploratory analysis, and develop robust statistical and predictive models with diagnostics. Master causal effects, forecasting, uplift, and uncertainty techniques, then create reports, dashboards, and recommendations.

Elevify advantages

Develop skills

  • BI-focused EDA: rapidly profile retail data, segments, and seasonal patterns.
  • Practical feature engineering: create RFM, time-based, and price features to enhance models.
  • Efficient statistical modeling: apply, diagnose, and interpret OLS, GLM, and logistic regression.
  • Causal and uplift analysis: measure impacts of discounts and campaigns for BI strategies.
  • BI storytelling: convert model results into intuitive dashboards, tests, and actionable steps.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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